Google Pixel 6
Geekbench AI Score
229
Single Precision Score
1417
Half Precision Score
5158
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | FarbodKHZ |
| Upload Date | November 23 2025 12:00 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (HP)
|
100% |
4367
812.1 IPS |
|
|
Image Classification (Q)
|
99% |
6983
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
3525
57.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9451
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
19230
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47188
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
87% |
416
33.4 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
9726
115.6 IPS |
|
|
Face Detection (Q)
|
97% |
18884
225.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
289
2.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
19504
150.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
28130
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
496
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
2945
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
139
5.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13459
498.7 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.2 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.6 IPS |
|
|
Text Classification (Q)
|
92% |
1698
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.03 IPS |
